activity
20202022
most citedTowards an Understanding of Situated AR Visualization for Basketball Free-Throw Training

81 citations · 249 across the 6 of their papers we have counts for

collaborators

8 papers

cs.HC202216 cited

The Pattern is in the Details: An Evaluation of Interaction Techniques for Locating, Searching, and Contextualizing Details in Multivariate Matrix Visualizations

Yalong Yang, Wenyu Xia, Fritz Lekschas +3

Matrix visualizations are widely used to display large-scale network, tabular, set, or sequential data. They typically only encode a single value per cell, e.g., through color. How…

cs.HC20224 cited

GAN'SDA Wrap: Geographic And Network Structured Data on surfaces that Wrap around

Kun-Ting Chen, Tim Dwyer, Yalong Yang +2

There are many methods for projecting spherical maps onto the plane. Interactive versions of these projections allow the user to centre the region of interest. However, the effects…

cs.HC202110 cited

Visualization Design Sprints for Online and On-Campus Courses

Johanna Beyer, Yalong Yang, Hanspeter Pfister

We present how to integrate Design Sprints and project-based learning into introductory visualization courses. A design sprint is a unique process based on rapid prototyping and us…

cs.HC202181 cited

Towards an Understanding of Situated AR Visualization for Basketball Free-Throw Training

Tica Lin, Rishi Singh, Yalong Yang +4

We present an observational study to compare co-located and situated real-time visualizations in basketball free-throw training. Our goal is to understand the advantages and concer…

cs.HC202162 cited

Visualizing and Interacting with Geospatial Networks: A Survey and Design Space

Sarah Schöttler, Yalong Yang, Hanspeter Pfister +1

This paper surveys visualization and interaction techniques for geospatial networks from a total of 95 papers. Geospatial networks are graphs where nodes and links can be associate…

cs.HC2020

Embodied Navigation in Immersive Abstract Data Visualization: Is Overview+Detail or Zooming Better for 3D Scatterplots?

Yalong Yang, Maxime Cordeil, Johanna Beyer +3

Abstract data has no natural scale and so interactive data visualizations must provide techniques to allow the user to choose their viewpoint and scale. Such techniques are well es…